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This paper aims to investigate the role of bank reputation (via its proposed dimensions) in influencing bank trust and its subsequent effect on the loyalty of the customer. The study has also explored the moderating role of bank type (public vs private bank) in the relationship between the dimensions of bank reputation and bank trust.

A total of 651 questionnaires were distributed to the customers of public and private bank, whereas only 375 usable responses were obtained. Questionnaires were given to the respondents through the visit of few interviewers to several private and public banks in Delhi and NCR region during December 2019 to February 2020. A screening question was included in the beginning of the questionnaire (i.e. Do you trust your bank?). Non-random sampling technique was used for data collection, and the research design was cross-sectional. The proposed framework was tested with the help of structural equation modeling.

The findings of the study show that all the proposed dimensions (i.e. service quality, stability, customer centricism and corporate performance) of corporate reputation/bank reputation significantly affect bank trust. Also, the effect of bank trust on loyalty was found significant. Bank type emerged as a significant moderator between the dimensions of bank reputation and bank trust. It shows that the effect of service quality, stability, customer centricism and corporate performance on bank trust significantly differs in public vs private banks. Customer centricism is perceived to be high in private banks, whereas all the other three dimensions are obtained to be higher in public sector banks according to the findings of the study.

The presented framework in the study has covered all the significant antecedents of bank trust and its subsequent effect on loyalty. The findings of the paper are useful to several stakeholders, including bank managers, regulators, investors and depositors. The study shows that bank reputation affects trust and loyalty in the long run. This relationship can be used by bank managers for gaining the trust of customers and building loyalty. It also helps in making strategies by banks for targeting customers. Stability is a very crucial factor for a developing economy. The bank regulators can use these results for ensuring the soundness of the banking system and for providing a stable environment for customers. Bank depositors and investors can also use the findings of the study for analyzing the factors that affect their bank selection decision.

The present research shows that bank type moderates the relationship of the dimensions of bank reputation and bank trust in an emerging economy in Asia.

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

The findings provide valuable results to be considered for controlling air pollution in the region.

The purpose of this study is to empirically investigate the mediating effect of work-life balance (WLB) in the relationship between three significant job resources (namely, job autonomy, supervisor support and co-worker support) and job satisfaction experienced by frontline nursing professionals during the COVID-19 pandemic in an Indian setting using the theoretical foundation of job demands-resources theory.

Structured questionnaire survey has been used to get the responses from 452 nursing professionals in India during the COVID-19 pandemic. To carry out data analysis structural equation modeling has been used.

The results reveal the relationship between the framed hypotheses. Surprisingly, the relationship between all three job resources and WLB was found to be positive, and also WLB was positively associated with nursing professionals’ job satisfaction during pandemic situations. However, WLB partially mediated the relationship only between two job resources (namely, job autonomy and supervisor support) and job satisfaction.

The research paper addresses Indian nursing professionals’ perceptions of job resources, WLB and job satisfaction during the COVID-19 pandemic. This paper seeks to examine such a relationship when nursing professionals’ worked round the clock with intuitive expertise and cautiousness to provide quality care and responded more efficiently to scarce resource situations.

This study aims to test an integrated model that examines the relationship between the service qualities of police at any urban tourist destination and the tourist urban destination advocacy at tourist cities in the Shimla region of India, where tourists’ trust in police acts as a mediating variable. This study mainly focused on the type of service shown by police officials to develop trust among the tourists, resulting in their urban destination advocacy.

The questionnaire was adopted from previously developed and validated scales. The questionnaire was administered to different tourists who came to India. This study used the bootstrapping technique and structural equation modelling (SEM) to address the research questions and test the hypotheses.

This study results indicate that trust in the police mediates the relationship between police service quality and tourist satisfaction at any urban tourist destination. The study’s findings add to the literature on tourists’ trust in policing tourist sites, police service quality and leader behaviour.

The above-tested model has a very limited number of constructs. There are a variety of additional antecedents (e.g. police organization culture and urban destination attributes) and consequences (word-of-mouth referrals and customer identification) that could be considered for future research to develop a more comprehensive model. The cross-sectional study raises concerns about the causal relationships between constructs in the tested model. More substantial evidence of causality via longitudinal and experimental studies is needed.

The study’s findings added a chapter to the literature by identifying how police service quality impacts tourist trust building and urban destination advocacy.

The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL.

The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL.

A thorough review of the literature identifies three different categories of research articles: “factor identification” articles, “QMP implementation” articles, “scale development” articles, and “influence of QMP on various organizational and employees-related factors” articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature.

To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically.

This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees.

This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.

The purpose of this paper is to analyze the relationship between the factors influencing investors sentiment and investment decision-making (DM) of the individual investors. This paper proposes a unique conceptual framework that incorporates the herding, market and awareness factors that are leading to investor sentiment (IS) and decision-making process of the individual investors.

This study has conducted a questionnaire-based survey to collect data from 875 individual investors through the convenience sampling method. Structural equation modeling was used to evaluate the relationship between factors, namely, market effect, herd behavior, media, social interaction and advocate recommendation that influences IS and DM.

The present study found that market effect and herding are the most significantly influencing factors of investors sentiment. Among the sources of awareness, the internet has the lowest influence when compared to media, social interaction and advocate recommendation.

This study will help individual investors to avoid the problems faced while making an investment decision. The study could help investors to select a suitable investment aid and avoid repeating expensive errors, which arise due to investors’ sentiment. It is recommended to increase the awareness regarding investors’ sentiment among individuals, so as to increase their understanding about the financial settings and to make them confident while investing. The present study also sheds light upon the behavior of Indian individual investors so that policymakers can take appropriate measures to provide the proper guidance. Policymakers can conduct awareness campaigns to increase investors’ knowledge on the market condition and to enhance proper investment DM among them.

To best of the authors’ knowledge, previous studies have focused on limited factors at a time. The present study has investigated how factors influencing investors sentiment, namely, market factors (MF), herding as well as awareness would influence investment DM among individual investors in India. The influence of these factors has never been studied simultaneously in the context of Indian individual investors’ DM.

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process.

In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making.

The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making.

The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. Knowledge of behavioral finance would enhance the decision-making capabilities of individual investors in the stock market. Thus, the study calls for the need to increase awareness among Indian investors about behavioral finance and its usefulness in investment decision-making. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study confirms that the investor relies on their sentiment while making investment decisions. Hence, the stakeholders in the stock market should focus on investor sentiment and other psychological aspects of individual investors as well.

There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

The purpose of this study is to review the literature on work–life interface (WLI) studies conducted in India, including how cultural and institutional factors affect the work–life balance perception of Indian employees and how they differ from the west.

The preferred reporting items for systematic reviews and meta analyses (PRISMA) framework was used to select studies included in this systematic review.

Employees in India prioritize their family first because of the collectivist culture as opposed to the west, where work forms the role of root identity. Further, it was found that institutional support in India is lower than in developed western countries, resulting in difficulty for Indian employees to balance their work and life domains. Additionally, methodological advancement and large-scale multilevel research are much needed in India, as research on work–life studies is still in its infancy.

This study is limited to qualitative synthesis of PRISMA framework. Adopting more advanced “meta-analysis” techniques to review quantitative studies could result in more comprehensive and informative results.

Since 2009, there has been an increase in empirical studies conducted on work–life studies in India, but no systematic review has been conducted to understand the various theories and variables used by researchers. In this study, we developed a conceptual model to increase the theoretical knowledge of WLI constructs.

Drawing on goal-setting theory and team effectiveness theory, the study aims to examine the impact of agile taskwork and agile teamwork on team performance. In addition, it investigates the mediating effect of project commitment on the impact of agile taskwork and agile teamwork on team performance. Furthermore, the study also tests the moderating role of career level on the impact of agile taskwork and agile teamwork on team performance.

Survey data were collected from 563 employees working in 290 information technology (IT) companies in India using a self-reporting structured questionnaire. Partial least squares path modeling was used to test the hypothesized model, and the Process macro was used to test the moderating effect.

The results show that agile taskwork and agile teamwork positively affect team performance and project commitment, and project commitment positively impacts team performance. Furthermore, project commitment fully mediates the relationship between agile taskwork and team performance and partially mediates the relationship between agile teamwork and team performance. Furthermore, the career level negatively moderates the impact of agile taskwork and agile teamwork on team performance.

The study shows the importance of agile work practices and project commitment to enhance team performance. Thus, the study provides managers with two strategies to improve their team performance.

There is a scarcity of research examining the distinct effects of agile taskwork and agile teamwork on team performance and the mediating role of project commitment in these relationships. Furthermore, as per the empirical evidence, no previous research has empirically examined the moderating role of career level in the agile taskwork-team performance and agile teamwork-team performance relationships.

The purpose of this paper is to demonstrate a proficiency for accomplishing optimal CFO and keep down the error among the received and transmitted signal. Orthogonal frequency-division multiplexing (OFDM) is considered as an attractive modulation scheme that could be adopted in wireless communication systems owing to its reliability in opposition to multipath interruptions under different subchannels. Carrier frequency offset (CFO) establishes inter-carrier interference that devastates the orthogonality between the subcarriers and fluctuates the preferred signal and minimizes the effectual signal-to-noise ratio (SNR). This results in corrupted system performance. For sustaining the subcarriers’ orthogonality, timing errors and CFOs have to be approximated and sufficiently compensated for. Single carrier modulation (SCM) is a major feature for efficient OFDM system.

This paper introduces a novel superposition coded modulation-orthogonal frequency-division multiplexing (SCM-OFDM) system with optimal CFO estimation using advanced optimization algorithm. The effectiveness of SCM-OFDM is validated by correlating the transmitted and received signal. Hence, the primary objective of the current research work is to reduce the error among the transmitted and received signal. The received signal involves CFO, which has to be tuned properly to get the signal as closest as possible with transmitted signal. The optimization or tuning of CFO is done by improved grey wolf optimization (GWO) called GWO with self-adaptiveness (GWO-SA). Further, it carries the performance comparison of proposed model with state-of-the-art models with the analysis on bit error rate (BER) and mean square error (MSE), thus validating the system’s performance.

From the analysis, BER of the proposed and conventional schemes for CFO at 0.25 was determined, where the adopted scheme at 10th SNR was 99.6 per cent better than maximum likelihood, 99.6 per cent better than least mean square (LMS), 99.3 per cent better than particle swarm optimization (PSO), 75 per cent better than genetic algorithm (GA) and 25 per cent better than GWO algorithms. Moreover, MSE at 1st SNR, the proposed GWO-SA scheme, is 4.62 per cent better than LMS, 60.1 per cent better than PSO, 37.82 better than GA and 67.85 per cent better than GWO algorithms. Hence, it is confirmed that the performance of SCM-OFDM system with GWO-SA-based CFO estimation outperformed the state-of-the-art techniques.

This paper presents a technique for attaining optimal CFO and to minimize the error among the received and transmitted signal. This is the first work that uses GWO-SA for attaining optimal CFO.